Triple

T28688418
Position Surface form Disambiguated ID Type / Status
Subject Chongqing Jiaotong University (Nan’an campus) E729205 entity
Predicate partOf P40 FINISHED
Object Chongqing Jiaotong University
Chongqing Jiaotong University is a Chinese higher education institution in Chongqing known for its focus on transportation engineering, civil engineering, and related applied sciences.
E2088836 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chongqing Jiaotong University | Statement: [Chongqing Jiaotong University (Nan’an campus), partOf, Chongqing Jiaotong University]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chongqing Jiaotong University
Triple: [Chongqing Jiaotong University (Nan’an campus), partOf, Chongqing Jiaotong University]
Generated description
Chongqing Jiaotong University is a Chinese higher education institution in Chongqing known for its focus on transportation engineering, civil engineering, and related applied sciences.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f043e60b6c8190ac2cd042e77fe6e9 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65683126481908a06aadfb1ae2f6c completed May 2, 2026, 7:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36e5fbcdb0819099c20a337a9c0f99 completed June 20, 2026, 7:11 p.m.
NEDg Description generation batch_6a36e90d94788190b528a81f3cafe3b3 completed June 20, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a36e9736fc48190990a081dc29457f5 completed June 20, 2026, 7:26 p.m.
Created at: April 28, 2026, 5:34 a.m.